Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDNazli Goharian
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
[c104]Hrishikesh Kulkarni
, Zachary Young, Nazli Goharian, Ophir Frieder, Sean MacAvaney:
Genetic Generative Information Retrieval. DocEng 2023: 8:1-8:4- [c103]Sajad Sotudeh, Nazli Goharian:
OntG-Bart: Ontology-Infused Clinical Abstractive Summarization. DocEng 2023: 17:1-17:4 - [c102]Hrishikesh Kulkarni, Sean MacAvaney, Nazli Goharian, Ophir Frieder:
Lexically-Accelerated Dense Retrieval. SIGIR 2023: 152-162 - [i39]Sajad Sotudeh, Nazli Goharian, Hanieh Deilamsalehy, Franck Dernoncourt:
Curriculum-guided Abstractive Summarization for Mental Health Online Posts. CoRR abs/2302.00954 (2023) - [i38]Sajad Sotudeh, Hanieh Deilamsalehy, Franck Dernoncourt, Nazli Goharian:
Curriculum-Guided Abstractive Summarization. CoRR abs/2302.01342 (2023) - [i37]Sajad Sotudeh, Nazli Goharian:
QontSum: On Contrasting Salient Content for Query-focused Summarization. CoRR abs/2307.07586 (2023) - [i36]Hrishikesh Kulkarni, Sean MacAvaney, Nazli Goharian, Ophir Frieder:
Lexically-Accelerated Dense Retrieval. CoRR abs/2307.16779 (2023) - 2022
- [j19]Nazli Goharian, Faegheh Hasibi, Maria Maistro, Suzan Verberne:
Report on the SIGIR 2022 Session on Women in IR (WIR). SIGIR Forum 56(2): 10:1-10:2 (2022) - [j18]Sean MacAvaney, Sergey Feldman, Nazli Goharian, Doug Downey, Arman Cohan:
ABNIRML: Analyzing the Behavior of Neural IR Models. Trans. Assoc. Comput. Linguistics 10: 224-239 (2022) - [c101]Sajad Sotudeh, Nazli Goharian, Hanieh Deilamsalehy, Franck Dernoncourt:
Curriculum-guided Abstractive Summarization for Mental Health Online Posts. LOUHI@EMNLP 2022: 148-153 - [c100]Sajad Sotudeh, Nazli Goharian:
GUIR @ MuP 2022: Towards Generating Topic-aware Multi-perspective Summaries for Scientific Documents. SDP@COLING 2022: 273-278 - [c99]Hrishikesh Kulkarni, Sean MacAvaney, Nazli Goharian, Ophir Frieder:
TBD3: A Thresholding-Based Dynamic Depression Detection from Social Media for Low-Resource Users. LREC 2022: 2157-2165 - [c98]Sajad Sotudeh, Nazli Goharian, Zachary Young:
MentSum: A Resource for Exploring Summarization of Mental Health Online Posts. LREC 2022: 2682-2692 - [c97]Sajad Sotudeh, Nazli Goharian:
TSTR: Too Short to Represent, Summarize with Details! Intro-Guided Extended Summary Generation. NAACL-HLT 2022: 325-335 - [i35]Sajad Sotudeh, Nazli Goharian:
TSTR: Too Short to Represent, Summarize with Details! Intro-Guided Extended Summary Generation. CoRR abs/2206.00847 (2022) - [i34]Sajad Sotudeh, Nazli Goharian, Zachary Young:
MentSum: A Resource for Exploring Summarization of Mental Health Online Posts. CoRR abs/2206.00856 (2022) - 2021
- [j17]Nazli Goharian, Hannah Bast:
Report on women in IR (WIR 2021) at SIGIR 2021. SIGIR Forum 55(2): 9:1-9:3 (2021) - [c96]Sean MacAvaney, Franck Dernoncourt, Walter Chang, Nazli Goharian, Ophir Frieder:
Interaction Matching for Long-Tail Multi-Label Classification. SDU@AAAI 2021 - [c95]Sajad Sotudeh, Arman Cohan, Nazli Goharian:
On Generating Extended Summaries of Long Documents. SDU@AAAI 2021 - [c94]Sean MacAvaney, Andrew Yates, Sergey Feldman, Doug Downey, Arman Cohan, Nazli Goharian:
Simplified Data Wrangling with ir_datasets. SIGIR 2021: 2429-2436 - [c93]Tong Xiang, Sean MacAvaney, Eugene Yang, Nazli Goharian:
ToxCCIn: Toxic Content Classification with Interpretability. WASSA@EACL 2021: 1-12 - [i33]Tong Xiang, Sean MacAvaney, Eugene Yang, Nazli Goharian:
ToxCCIn: Toxic Content Classification with Interpretability. CoRR abs/2103.01328 (2021) - [i32]Sean MacAvaney, Andrew Yates, Sergey Feldman, Doug Downey, Arman Cohan, Nazli Goharian:
Simplified Data Wrangling with ir_datasets. CoRR abs/2103.02280 (2021) - [i31]Sajad Sotudeh, Hanieh Deilamsalehy, Franck Dernoncourt, Nazli Goharian:
TLDR9+: A Large Scale Resource for Extreme Summarization of Social Media Posts. CoRR abs/2110.01159 (2021) - 2020
- [j16]Nazli Goharian, Xin Ma, Suzan Verberne:
Women and disparities in leadership and wages. SIGIR Forum 54(2): 10:1-10:3 (2020) - [c92]Sajad Sotudeh Gharebagh, Nazli Goharian, Ross W. Filice:
Attend to Medical Ontologies: Content Selection for Clinical Abstractive Summarization. ACL 2020: 1899-1905 - [c91]Sean MacAvaney, Arman Cohan, Nazli Goharian, Ross W. Filice:
Ranking Significant Discrepancies in Clinical Reports. ECIR (2) 2020: 238-245 - [c90]Sean MacAvaney, Luca Soldaini, Nazli Goharian:
Teaching a New Dog Old Tricks: Resurrecting Multilingual Retrieval Using Zero-Shot Learning. ECIR (2) 2020: 246-254 - [c89]Sajad Sotudeh Gharebagh, Arman Cohan, Nazli Goharian:
GUIR @ LongSumm 2020: Learning to Generate Long Summaries from Scientific Documents. SDP@EMNLP 2020: 356-361 - [c88]Sean MacAvaney, Arman Cohan, Nazli Goharian:
SLEDGE-Z: A Zero-Shot Baseline for COVID-19 Literature Search. EMNLP (1) 2020: 4171-4179 - [c87]Michael Kranzlein, Shabnam Behzad, Nazli Goharian:
Team DoNotDistribute at SemEval-2020 Task 11: Features, Finetuning, and Data Augmentation in Neural Models for Propaganda Detection in News Articles. SemEval@COLING 2020: 1502-1508 - [c86]Sajad Sotudeh, Tong Xiang, Hao-Ren Yao, Sean MacAvaney, Eugene Yang, Nazli Goharian, Ophir Frieder:
GUIR at SemEval-2020 Task 12: Domain-Tuned Contextualized Models for Offensive Language Detection. SemEval@COLING 2020: 1555-1561 - [c85]Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder:
Efficient Document Re-Ranking for Transformers by Precomputing Term Representations. SIGIR 2020: 49-58 - [c84]Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder:
Training Curricula for Open Domain Answer Re-Ranking. SIGIR 2020: 529-538 - [c83]Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder:
Expansion via Prediction of Importance with Contextualization. SIGIR 2020: 1573-1576 - [i30]Sean MacAvaney, Arman Cohan, Nazli Goharian, Ross W. Filice:
Ranking Significant Discrepancies in Clinical Reports. CoRR abs/2001.06674 (2020) - [i29]Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder:
Expansion via Prediction of Importance with Contextualization. CoRR abs/2004.14245 (2020) - [i28]Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder:
Efficient Document Re-Ranking for Transformers by Precomputing Term Representations. CoRR abs/2004.14255 (2020) - [i27]Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder:
Training Curricula for Open Domain Answer Re-Ranking. CoRR abs/2004.14269 (2020) - [i26]Sajad Sotudeh, Nazli Goharian, Ross W. Filice:
Attend to Medical Ontologies: Content Selection for Clinical Abstractive Summarization. CoRR abs/2005.00163 (2020) - [i25]Sean MacAvaney, Arman Cohan, Nazli Goharian:
SLEDGE: A Simple Yet Effective Baseline for Coronavirus Scientific Knowledge Search. CoRR abs/2005.02365 (2020) - [i24]Sean MacAvaney, Franck Dernoncourt, Walter Chang, Nazli Goharian, Ophir Frieder:
Interaction Matching for Long-Tail Multi-Label Classification. CoRR abs/2005.08805 (2020) - [i23]Sajad Sotudeh, Tong Xiang, Hao-Ren Yao, Sean MacAvaney, Eugene Yang, Nazli Goharian, Ophir Frieder:
GUIR at SemEval-2020 Task 12: Domain-Tuned Contextualized Models for Offensive Language Detection. CoRR abs/2007.14477 (2020) - [i22]Michael Kranzlein, Shabnam Behzad, Nazli Goharian:
Team DoNotDistribute at SemEval-2020 Task 11: Features, Finetuning, and Data Augmentation in Neural Models for Propaganda Detection in News Articles. CoRR abs/2008.09703 (2020) - [i21]Sean MacAvaney, Arman Cohan, Nazli Goharian:
SLEDGE-Z: A Zero-Shot Baseline for COVID-19 Literature Search. CoRR abs/2010.05987 (2020) - [i20]Sean MacAvaney, Sergey Feldman, Nazli Goharian, Doug Downey, Arman Cohan:
ABNIRML: Analyzing the Behavior of Neural IR Models. CoRR abs/2011.00696 (2020) - [i19]Sajad Sotudeh, Arman Cohan, Nazli Goharian:
On Generating Extended Summaries of Long Documents. CoRR abs/2012.14136 (2020)
2010 – 2019
- 2019
- [j15]Sean MacAvaney, Andrew Yates, Arman Cohan, Luca Soldaini, Kai Hui, Nazli Goharian, Ophir Frieder:
Overcoming low-utility facets for complex answer retrieval. Inf. Retr. J. 22(3-4): 395-418 (2019) - [j14]Nazli Goharian, Suzan Verberne:
Addressing gender inequality. SIGIR Forum 53(2): 44 (2019) - [c82]Sean MacAvaney, Sajad Sotudeh, Arman Cohan, Nazli Goharian, Ish A. Talati, Ross W. Filice:
Ontology-Aware Clinical Abstractive Summarization. SIGIR 2019: 1013-1016 - [c81]Sean MacAvaney, Andrew Yates, Arman Cohan, Nazli Goharian:
CEDR: Contextualized Embeddings for Document Ranking. SIGIR 2019: 1101-1104 - [i18]Sean MacAvaney, Andrew Yates, Arman Cohan, Nazli Goharian:
CEDR: Contextualized Embeddings for Document Ranking. CoRR abs/1904.07094 (2019) - [i17]Sean MacAvaney, Sajad Sotudeh, Arman Cohan, Nazli Goharian, Ish A. Talati, Ross W. Filice:
Ontology-Aware Clinical Abstractive Summarization. CoRR abs/1905.05818 (2019) - [i16]Sean MacAvaney, Luca Soldaini, Nazli Goharian:
Teaching a New Dog Old Tricks: Resurrecting Multilingual Retrieval Using Zero-shot Learning. CoRR abs/1912.13080 (2019) - 2018
- [j13]Arman Cohan, Nazli Goharian:
Scientific document summarization via citation contextualization and scientific discourse. Int. J. Digit. Libr. 19(2-3): 287-303 (2018) - [c80]Sean MacAvaney, Bart Desmet, Arman Cohan, Luca Soldaini, Andrew Yates, Ayah Zirikly, Nazli Goharian:
RSDD-Time: Temporal Annotation of Self-Reported Mental Health Diagnoses. CLPsych@NAACL-HTL 2018: 168-173 - [c79]Luca Soldaini, Timothy Walsh, Arman Cohan, Julien Han, Nazli Goharian:
Helping or Hurting? Predicting Changes in Users' Risk of Self-Harm Through Online Community Interactions. CLPsych@NAACL-HTL 2018: 194-203 - [c78]Ziling Fan, Luca Soldaini, Arman Cohan, Nazli Goharian:
Relation Extraction for Protein-protein Interactions Affected by Mutations. BCB 2018: 506-507 - [c77]Arman Cohan, Bart Desmet, Andrew Yates, Luca Soldaini, Sean MacAvaney, Nazli Goharian:
SMHD: a Large-Scale Resource for Exploring Online Language Usage for Multiple Mental Health Conditions. COLING 2018: 1485-1497 - [c76]Arman Cohan, Franck Dernoncourt, Doo Soon Kim, Trung Bui, Seokhwan Kim, Walter Chang, Nazli Goharian:
A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents. NAACL-HLT (2) 2018: 615-621 - [c75]Sean MacAvaney, Luca Soldaini, Arman Cohan, Nazli Goharian:
GU IRLAB at SemEval-2018 Task 7: Tree-LSTMs for Scientific Relation Classification. SemEval@NAACL-HLT 2018: 831-835 - [c74]Sean MacAvaney, Andrew Yates, Arman Cohan, Luca Soldaini, Kai Hui, Nazli Goharian, Ophir Frieder:
Overcoming Low-Utility Facets for Complex Answer Retrieval. ProfS/KG4IR/Data:Search@SIGIR 2018: 46-47 - [c73]Sean MacAvaney, Andrew Yates, Arman Cohan, Luca Soldaini, Kai Hui, Nazli Goharian, Ophir Frieder:
Characterizing Question Facets for Complex Answer Retrieval. SIGIR 2018: 1205-1208 - [c72]Sean MacAvaney, Nazli Goharian, Ophir Frieder, Andrew Yates:
PACRR Gated Expansion for TREC CAR 2018. TREC 2018 - [i15]Sean MacAvaney, Luca Soldaini, Arman Cohan, Nazli Goharian:
GU IRLAB at SemEval-2018 Task 7: Tree-LSTMs for Scientific Relation Classification. CoRR abs/1804.05408 (2018) - [i14]Arman Cohan, Franck Dernoncourt, Doo Soon Kim, Trung Bui, Seokhwan Kim, Walter Chang, Nazli Goharian:
A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents. CoRR abs/1804.05685 (2018) - [i13]Luca Soldaini, Timothy Walsh, Arman Cohan, Julien Han, Nazli Goharian:
Helping or Hurting? Predicting Changes in Users' Risk of Self-Harm Through Online Community Interactions. CoRR abs/1804.07253 (2018) - [i12]Sean MacAvaney, Andrew Yates, Arman Cohan, Luca Soldaini, Kai Hui, Nazli Goharian, Ophir Frieder:
Characterizing Question Facets for Complex Answer Retrieval. CoRR abs/1805.00791 (2018) - [i11]Arman Cohan, Bart Desmet, Andrew Yates, Luca Soldaini, Sean MacAvaney, Nazli Goharian:
SMHD: A Large-Scale Resource for Exploring Online Language Usage for Multiple Mental Health Conditions. CoRR abs/1806.05258 (2018) - [i10]Sean MacAvaney, Bart Desmet, Arman Cohan, Luca Soldaini, Andrew Yates, Ayah Zirikly, Nazli Goharian:
RSDD-Time: Temporal Annotation of Self-Reported Mental Health Diagnoses. CoRR abs/1806.07916 (2018) - [i9]Sean MacAvaney, Andrew Yates, Arman Cohan, Luca Soldaini, Kai Hui, Nazli Goharian, Ophir Frieder:
Overcoming low-utility facets for complex answer retrieval. CoRR abs/1811.08772 (2018) - 2017
- [j12]Luca Soldaini, Andrew Yates, Nazli Goharian:
Learning to reformulate long queries for clinical decision support. J. Assoc. Inf. Sci. Technol. 68(11): 2602-2619 (2017) - [j11]Arman Cohan, Sydney Young, Andrew Yates, Nazli Goharian:
Triaging content severity in online mental health forums. J. Assoc. Inf. Sci. Technol. 68(11): 2675-2689 (2017) - [c71]Arman Cohan, Allan Fong, Raj M. Ratwani, Nazli Goharian:
Identifying Harm Events in Clinical Care through Medical Narratives. BCB 2017: 52-59 - [c70]Luca Soldaini, Andrew Yates, Nazli Goharian:
Denoising Clinical Notes for Medical Literature Retrieval with Convolutional Neural Model. CIKM 2017: 2307-2310 - [c69]Luca Soldaini, Nazli Goharian:
Learning to Rank for Consumer Health Search: A Semantic Approach. ECIR 2017: 640-646 - [c68]Arman Cohan, Allan Fong, Nazli Goharian, Raj M. Ratwani:
A Neural Attention Model for Categorizing Patient Safety Events. ECIR 2017: 720-726 - [c67]Andrew Yates, Arman Cohan, Nazli Goharian:
Depression and Self-Harm Risk Assessment in Online Forums. EMNLP 2017: 2968-2978 - [c66]Sean MacAvaney, Arman Cohan, Nazli Goharian:
GUIR at SemEval-2017 Task 12: A Framework for Cross-Domain Clinical Temporal Information Extraction. SemEval@ACL 2017: 1024-1029 - [c65]Arman Cohan, Nazli Goharian:
Contextualizing Citations for Scientific Summarization using Word Embeddings and Domain Knowledge. SIGIR 2017: 1133-1136 - [i8]Arman Cohan, Sydney Young, Andrew Yates, Nazli Goharian:
Triaging Content Severity in Online Mental Health Forums. CoRR abs/1702.06875 (2017) - [i7]Arman Cohan, Allan Fong, Nazli Goharian, Raj M. Ratwani:
A Neural Attention Model for Categorizing Patient Safety Events. CoRR abs/1702.07092 (2017) - [i6]Arman Cohan, Nazli Goharian:
Scientific Article Summarization Using Citation-Context and Article's Discourse Structure. CoRR abs/1704.06619 (2017) - [i5]Arman Cohan, Nazli Goharian:
Contextualizing Citations for Scientific Summarization using Word Embeddings and Domain Knowledge. CoRR abs/1705.08063 (2017) - [i4]Arman Cohan, Nazli Goharian:
Scientific document summarization via citation contextualization and scientific discourse. CoRR abs/1706.03449 (2017) - [i3]Arman Cohan, Allan Fong, Raj M. Ratwani, Nazli Goharian:
Identifying Harm Events in Clinical Care through Medical Narratives. CoRR abs/1708.04681 (2017) - [i2]Andrew Yates, Arman Cohan, Nazli Goharian:
Depression and Self-Harm Risk Assessment in Online Forums. CoRR abs/1709.01848 (2017) - 2016
- [j10]Luca Soldaini, Andrew Yates, Elad Yom-Tov, Ophir Frieder, Nazli Goharian:
Enhancing web search in the medical domain via query clarification. Inf. Retr. J. 19(1-2): 149-173 (2016) - [c64]Luca Soldaini, Will Edman, Nazli Goharian:
Team GU-IRLAB at CLEF eHealth 2016: Task 3. CLEF (Working Notes) 2016: 143-146 - [c63]Andrew Yates, Jonah Joselow, Nazli Goharian:
The News Cycle's Influence on Social Media Activity. ICWSM 2016: 735-738 - [c62]Andrew Yates, Nazli Goharian, Ophir Frieder:
Learning the Relationships between Drug, Symptom, and Medical Condition Mentions in Social Media. ICWSM 2016: 739-742 - [c61]Arman Cohan, Nazli Goharian:
Revisiting Summarization Evaluation for Scientific Articles. LREC 2016 - [c60]Andrew Yates, Alek Kolcz, Nazli Goharian, Ophir Frieder:
Effects of Sampling on Twitter Trend Detection. LREC 2016 - [c59]Arman Cohan, Sydney Young, Nazli Goharian:
Triaging Mental Health Forum Posts. CLPsych@HLT-NAACL 2016: 143-147 - [c58]Arman Cohan, Kevin Meurer, Nazli Goharian:
GUIR at SemEval-2016 task 12: Temporal Information Processing for Clinical Narratives. SemEval@NAACL-HLT 2016: 1248-1255 - [i1]Arman Cohan, Nazli Goharian:
Revisiting Summarization Evaluation for Scientific Articles. CoRR abs/1604.00400 (2016) - 2015
- [j9]Jon Parker, Andrew Yates, Nazli Goharian, Ophir Frieder:
Health-related hypothesis generation using social media data. Soc. Netw. Anal. Min. 5(1): 7:1-7:15 (2015) - [c57]Andrew Yates, Nazli Goharian, Ophir Frieder:
Extracting Adverse Drug Reactions from Social Media. AAAI 2015: 2460-2467 - [c56]Luca Soldaini, Arman Cohan, Andrew Yates, Nazli Goharian, Ophir Frieder:
Retrieving Medical Literature for Clinical Decision Support. ECIR 2015: 538-549 - [c55]Arman Cohan, Nazli Goharian:
Scientific Article Summarization Using Citation-Context and Article's Discourse Structure. EMNLP 2015: 390-400 - [c54]Arman Cohan, Luca Soldaini, Nazli Goharian:
Matching Citation Text and Cited Spans in Biomedical Literature: a Search-Oriented Approach. HLT-NAACL 2015: 1042-1048 - 2014
- [c53]Arman Cohan, Luca Soldaini, Andrew Yates, Nazli Goharian, Ophir Frieder:
On clinical decision support. BCB 2014: 651-652 - [c52]Andrew Yates, Nazli Goharian, Ophir Frieder:
Relevance-Ranked Domain-Specific Synonym Discovery. ECIR 2014: 124-135 - [c51]Andrew Yates, Jon Parker, Nazli Goharian, Ophir Frieder:
A Framework for Public Health Surveillance. LREC 2014: 475-482 - [c50]Luca Soldaini, Arman Cohan, Andrew Yates, Nazli Goharian, Ophir Frieder:
Query Reformulation for Clinical Decision Support Search. TREC 2014 - 2013
- [c49]Andrew Yates, Nazli Goharian, Wai Gen Yee:
Semi-supervised probabilistic sentiment analysis: Merging labeled sentences with unlabeled reviews to identify sentiment. ASIST 2013: 1-10 - [c48]Jon Parker, Yifang Wei, Andrew Yates, Ophir Frieder, Nazli Goharian:
A framework for detecting public health trends with Twitter. ASONAM 2013: 556-563 - [c47]Andrew Yates, Nazli Goharian:
ADRTrace: Detecting Expected and Unexpected Adverse Drug Reactions from User Reviews on Social Media Sites. ECIR 2013: 816-819 - [c46]Eric William Burger, Howard J. Federoff, Massimo S. Fiandaca, Ophir Frieder, Nazli Goharian, Andrew Yates:
Social media communications networks and pharmacovigilance: SequelAE-2.0. Healthcom 2013: 1-3 - [c45]Yanan Zhu, Nazli Goharian:
To follow or not to follow: a feature evaluation. WWW (Companion Volume) 2013: 59-60 - [c44]Andrew Yates, Nazli Goharian, Ophir Frieder:
Graded relevance ranking for synonym discovery. WWW (Companion Volume) 2013: 139-140 - 2012
- [c43]Jon Parker, Andrew Yates, Nazli Goharian, Wai Gen Yee:
Efficient estimation of aspect weights. SIGIR 2012: 1057-1058 - [c42]Henry Tan, Nazli Goharian, Micah Sherr:
$100, 000 prize jackpot. call now!: identifying the pertinent features of SMS spam. SIGIR 2012: 1175-1176 - [c41]Dongyi Guan, Hui Yang, Nazli Goharian:
Effective Structured Query Formulation for Session Search. TREC 2012 - [c40]Andrew Yates, Dave DeBoer, Hui Yang, Nazli Goharian, Steve Kunath, Ophir Frieder:
(Not Too) Personalized Learning to Rank for Contextual Suggestion. TREC 2012 - 2011
- [c39]Nazli Goharian, Saket S. R. Mengle:
Networked hierarchies for web directories. WWW (Companion Volume) 2011: 43-44 - 2010
- [j8]Saket S. R. Mengle, Nazli Goharian:
Detecting relationships among categories using text classification. J. Assoc. Inf. Sci. Technol. 61(5): 1046-1061 (2010) - [c38]Nazli Goharian, Ophir Frieder, Wai Gen Yee, Jay Mundrawala:
Enriching Peer-to-Peer File Descriptors Using Association Rules on Query Logs. ECIR 2010: 636-639 - [c37]Saket S. R. Mengle, Nazli Goharian:
Mining temporal relationships among categories. SAC 2010: 1107-1108 - [c36]Nazli Goharian, Saket S. R. Mengle:
Context aware query classification using dynamic query window and relationship net. SIGIR 2010: 723-724
2000 – 2009
- 2009
- [j7]Jay Urbain, Ophir Frieder, Nazli Goharian:
Passage relevance models for genomics search. BMC Bioinform. 10(S-3) (2009) - [j6]Jay Urbain, Nazli Goharian, Ophir Frieder:
A dimensional retrieval model for integrating semantics and statistical evidence in context for genomics literature search. Comput. Biol. Medicine 39(1): 61-68 (2009) - [j5]Saket S. R. Mengle, Nazli Goharian:
Passage detection using text classification. J. Assoc. Inf. Sci. Technol. 60(4): 814-825 (2009) - [j4]